Welcome to clx’s documentation!

Contents:

• API Reference
  • IP
  • Features
  • Analytics
  • DNS Extractor
  • Exploratory Data Analysis
  • Heuristics
  • OSI (Open Source Integration)
  • Parsers
  • Utils
  • Workflow
  • I/O
• 10 minutes to CLX
  • What are these libraries?
  • When to use CLX
  • Log Parsing
  • Cyber Data Types
  • TLD Extraction
  • Machine Learning
  • Workflows
  • Open Source Threat Intelligence Integration
• CLX Workflow
  • What is a CLX Workflow?
  • When to use a CLX Workflow
  • Workflow I/O Components
  • Tying it together
  • Workflow configurations in an external file
• CLX DGA Detection
  • What is DGA Detection?
  • When to use CLX DGA Detection?
  • How to train a CLX DGA Detection model
  • Save a trained model checkpoint
  • Load a model checkpoint
  • DGA Inferencing
  • Conclusion
• Getting Started with CLX and Streamz
  • Build Quickstart Docker Image
  • Create Docker Container
  • Run cyBERT Streamz Example on Apache Logs
  • Run DGA Streamz Example on Sample Domains
  • Capturing Benchmarks
  • Steps to Run Workflow with Custom Arguments
• CLX Asset Classification (Supervised)
• Introduction
  • Train Asset Classification model
  • Initialize variables
  • Save a trained model
  • AC Inferencing
• CLX cyBERT
  • Introduction
  • How to train a cyBERT model
  • Download pre-trained model
  • Let’s create a cybert instance and load the pre-trained model.
  • Sample Apache logs as input
  • cyBERT Inferencing
  • Conclusion
• CLX LODA Anomaly Detection
  • Introduction
  • How to train LODA Anomaly Detection model
  • Evaluate detector
  • Explanation of anomalies
  • Conclusion
  • Reference
• CLX Periodicity Analysis
  • Introduction
  • How to use CLX Periodicity Detection
  • How to reconstruct the signal in the time domain
• CLX Phishing Detection Using cyBERT
  • What is Phishing?
  • How to train a Phishing Detection model
  • Save a trained model checkpoint
  • Save a trained model
  • Load a model
  • PD Inferencing
  • Conclusion
• CLX Predictive Maintenance
• Introduction
  • How to train a Predictive Maintenance model
  • Save a trained model checkpoint
  • Save a trained model
  • Load a model
  • PDM Inferencing
  • Conclusion

Indices and tables

• Index

• Module Index

• Search Page